DFP
Gene Selection
Bioconductor version: 2.6
This package provides a supervised technique able to identify differentially expressed genes, based on the construction of \emph{Fuzzy Patterns} (FPs). The Fuzzy Patterns are built by means of applying 3 Membership Functions to discretized gene expression values.
Author: R. Alvarez-Gonzalez, D. Glez-Pena, F. Diaz, F. Fdez-Riverola
Maintainer: Rodrigo Alvarez-Glez <rodrigo.djv at uvigo.es>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("DFP")
To cite this package in a publication, start R and enter:
citation("DFP")
Documentation
| R Script | Howto: Discriminat Fuzzy Pattern | |
| Reference Manual |
Details
| biocViews | Bioinformatics, Microarray, DifferentialExpression |
| Depends | methods, Biobase(>= 2.5.5) |
| Imports | |
| Suggests | |
| System Requirements | |
| License | GPL-2 |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.6.0 |
| Since | Bioconductor 2.3 (R-2.8) |
Package Downloads
| Package Source | DFP_1.6.0.tar.gz |
| Windows Binary | DFP_1.6.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | DFP_1.6.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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